Transcript PowerPoint
Animation
CS 551 / 651
Final Review
Logistics
Exam will be released Friday at 9:00 a.m.
• Electronically available (not sure how yet so check
your email)
– Programming may be required
– Open book
• You will “check out” the test for 24 hours… you
choose when
Test-taking materials
You can use any materials except your
classmates during the exam
Be mindful that others may be taking the
exam later than you and you shouldn’t be
overheard talking about your answers
Content
Everything during the semester
• The class web page is very complete
• Programming Assignments
The test will give you opportunity to convince me that
you understand material from papers this semester
Have everything read beforehand
General nature of exam
Open-ended questions are impossible to grade because there
is no one right answer and allocating partial credit is difficult
•
How would you implement this…
•
Why is technique A better than technique B
Questions will be more focused on details
•
Explain what effect a has in paper Foo
•
What is the Lagrangian?
•
Where have we seen the Strongly Connected Component this semester
and what did it accomplish?
Major topics
Physical Simulation
• Hecker articles (Assignment 1)
• Numerical integration
• Sources of error (class lectures)
• Speedup (Mirtich)
Major topics
Controllers
• Optimal (Chenney-00, Gleicher-92, Witkin,
Grzeszczuk)
• Learning reactive controllers
– Offline trial and error (Sims)
– User-guided (Metoyer)
• Multiagent (Tu, Reynolds, Helbing)
• Last assignment
Major topics
Data-driven Animation
• Markov chain (Schodl, Kovar, Lee)
• Reusing (Gleicher-98, Metoyer)
• Generalizing (Grzeszczuk)
• Simulation level of detail (Brogan)
• Clean-up (O’Brien)
Major topics
Inverse Kinematics
• Class lectures
• Handouts (Parent and Numerical Recipes)
• Assignment
Major Topics
Optimization
• Spacetime constraints (Gleicher-92, Witkin, Popovic, Gleicher98)
• Neural Networks (Grzeszczuk)
• Markov Chain Monte Carlo (Chenney-00)
• Least squares (O’Brien)
• Lagrangian (Gleicher-92)
• Genetic algorithms (Sims)
• Simulated Annealing (Hodgins)
Major topics
Optimization (cont.)
• Dynamic Programming (Schodl)
• Strongly Connected Components (Kovar, Lee)
• Bayesian Classification (Metoyer)
• A* (Pinter)
Major topics
Perception
• Using head-mounted displays
Major Topics
Biomechanics
• Swinging (Walker)
• Bicycling (Jones)
• Walking (articles from Nature)